# Google News Scraper - Headlines & Article Data (`xtech/google-news-scraper-pro`) Actor 𝗧𝗿𝗮𝗰𝗸 𝗚𝗼𝗼𝗴𝗹𝗲 𝗡𝗲𝘄𝘀 by keyword, country, and language. Export fresh headlines, publishers, dates, article links, snippets, images, and result rank. Create news data for media monitoring, brand tracking, competitor research, PR analysis, trend discovery, and AI workflows. - **URL**: https://apify.com/xtech/google-news-scraper-pro.md - **Developed by:** [Xtech](https://apify.com/xtech) (community) - **Categories:** News, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.80 / 1,000 news articles This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README Google News Scraper - Headlines & Article Data turns keyword searches into a clean, current article dataset. Search for companies, people, products, industries, events, or quoted phrases and choose the country and language edition that matters to your research. Independent tool. Not affiliated with, endorsed by, or sponsored by Google. ### What can the Google News Scraper do? Run up to 50 news searches together and collect as many as 100 results per query. Each query is handled independently, making it easy to compare coverage across brands, competitors, markets, or topics in one export. Country and language controls help you focus on a specific Google News edition rather than mixing unrelated regional results. ### Google News article data Each saved row represents one article result and can include: - Search query and result rank - Headline and publisher - Publication date when available - Direct article URL and Google News URL - Article snippet and image URL when shown - Collection timestamp Results are ready to download as JSON, CSV, or Excel, or connect to a scheduled reporting and analysis workflow. ### How to scrape Google News 1. Add one or more keywords, names, topics, or quoted phrases. 2. Select a two-letter country and language code for the edition you want. 3. Choose the maximum number of articles per query. 4. Start the run and open the dataset when it finishes. #### Example input ```json { "queries": ["electric vehicle market", "OpenAI"], "country": "US", "language": "en", "maxResultsPerQuery": 25 } ```` ### News monitoring use cases - Monitor brand, executive, and product mentions - Track competitor announcements and market activity - Build daily media-monitoring and PR reports - Discover emerging topics and industry trends - Collect news data for research, sentiment analysis, or AI workflows - Create focused feeds for newsletters and dashboards ### Pricing This Actor uses result-based pricing. You pay for article rows successfully saved to the dataset. Empty searches and results that cannot be saved do not create a paid article row. Use the maximum-results setting and an Apify run spending limit to keep every run within budget. ### Frequently asked questions #### Can I search several topics in one run? Yes. Add up to 50 queries, and the Actor combines their results in one dataset while retaining the query and rank for every row. #### Can I target local news editions? Yes. Set the country and language codes, such as `DE` and `de` for German-language results in Germany. #### Does every row include a snippet and image? No. These fields are included when Google News displays them for that result. ### Limitations Google News can change result order, available fields, and regional coverage at any time. A result may link through Google News when a direct publisher URL cannot be resolved. This Actor returns article metadata shown in Google News; it does not extract full article text, bypass publisher paywalls, or guarantee that every matching article on the web will appear. # Actor input Schema ## `queries` (type: `array`): Required. Add up to 50 keywords, company names, topics, or quoted phrases. ## `country` (type: `string`): Two-letter Google News edition country code. ## `language` (type: `string`): Two-letter Google News edition language code. ## `maxResultsPerQuery` (type: `integer`): Maximum number of article rows to save for each query. ## Actor input object example ```json { "queries": [ "artificial intelligence" ], "country": "US", "language": "en", "maxResultsPerQuery": 25 } ``` # Actor output Schema ## `articles` (type: `string`): Successful Google News article rows. ## `sourceResults` (type: `string`): Queries that did not return a usable feed response. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "queries": [ "artificial intelligence" ] }; // Run the Actor and wait for it to finish const run = await client.actor("xtech/google-news-scraper-pro").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "queries": ["artificial intelligence"] } # Run the Actor and wait for it to finish run = client.actor("xtech/google-news-scraper-pro").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "queries": [ "artificial intelligence" ] }' | apify call xtech/google-news-scraper-pro --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=xtech/google-news-scraper-pro", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google News Scraper - Headlines & Article Data", "description": "𝗧𝗿𝗮𝗰𝗸 𝗚𝗼𝗼𝗴𝗹𝗲 𝗡𝗲𝘄𝘀 by keyword, country, and language. Export fresh headlines, publishers, dates, article links, snippets, images, and result rank. Create news data for media monitoring, brand tracking, competitor research, PR analysis, trend discovery, and AI workflows.", "version": "0.1", "x-build-id": "dbhLCaVaubNEdtMUS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/xtech~google-news-scraper-pro/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-xtech-google-news-scraper-pro", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/xtech~google-news-scraper-pro/runs": { "post": { "operationId": "runs-sync-xtech-google-news-scraper-pro", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/xtech~google-news-scraper-pro/run-sync": { "post": { "operationId": "run-sync-xtech-google-news-scraper-pro", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "queries" ], "properties": { "queries": { "title": "News search queries", "minItems": 1, "maxItems": 50, "uniqueItems": true, "type": "array", "description": "Required. Add up to 50 keywords, company names, topics, or quoted phrases.", "items": { "type": "string" } }, "country": { "title": "Country", "pattern": "^[A-Za-z]{2}$", "type": "string", "description": "Two-letter Google News edition country code.", "default": "US" }, "language": { "title": "Language", "pattern": "^[A-Za-z]{2}$", "type": "string", "description": "Two-letter Google News edition language code.", "default": "en" }, "maxResultsPerQuery": { "title": "Maximum articles per query", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of article rows to save for each query.", "default": 25 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```